After Warping Options¶
Spatial Smoothing¶
The main goal of smoothing is to increase the signal-to-noise ratio of an image. This is done by removing high-frequency information (assumed to consist mostly of noise) while preserving signals on larger spatial scales (those which stretch across multiple voxels and are most likely to reflect neuronal activity). Smoothing can also help reduce the effect of anatomical variability when comparing activations between subjects (Poldrack et al., 2011). Additionally, smoothing with a Gaussian kernel (described below) will cause the distribution of signals found in an image to more closely match the assumptions of many statistical tests often used on fMRI data.
Computation and Analysis Considerations¶
Smoothing is accomplished by applying a Gaussian filter (also known as a kernel) to the original image. This results in the signal of each voxel being replaced by the weighted average of its neighbors (Ashby, 2011). It is the shape of the kernel that defines the weights applied during smoothing. As a Gaussian kernel is essentially a normal distribution, weight is always strongest at the voxel being smoothed and decreases with distance at a rate that depends on the width of the distribution. Wider distributions result in greater smoothing, as more distant voxels recieve higher weights than they would with a thinner kernel. Unlike in statistics, where the width of a distribution is described by the standard devition, the shape of a smoothing kernel is usually described by the width of the distribution at half of its maximum value. This is known as the Full Width Half Maximum (FWHM). The figure below shows the smoothing effect of different FWHM values.
Note: In C-PAC, smoothing is applied after calculating individual-level analyses (except for VMHC, for which smoothing is applied prior to calculation). This preserves the structure of the data as much as possible prior to statistical analysis.
Applications and Guidelines¶
The amount of smoothing applied should be the minimum necessary to achive the desired result. As a general rule, a FWHM of twice the voxel dimension is a good starting point (Poldrack et al., 2011). That being said, different situations will require adjustment of this value. In particular, the FWHM should never be larger than the smallest activation pattern you are interested in detecting; any larger value may result in signal loss, either by smoothing away very small signals, or smoothing two independent signals into one (Ashby, 2011).
Care must be taken when utilizing methods such as Regional Homogeneity (ReHo) and Multi-voxel Pattern Analysis (MVPA) which are sensitive to the activation of individual voxels, as smoothing prior to analysis may bias results by introducing artificial spatial correlation. In these cases, if smoothing is desired, such as in order to correct for multiple comparisons using Gaussian Random Field Theory, it must be applied after the fact.
Z-Scored Derivatives¶
C-PAC can take all of the outputs it produces and standardize their values as z-scores.
Configuring C-PAC to Run After-Warping Steps¶
- Kernel FWHM (in mm) [integer/decimal]: Full Width at Half Maximum of the Gaussian kernel used during spatial smoothing. Can be a single value or multiple values separated by commas. Note that spatial smoothing is run as the last step in the individual-level analysis pipeline, such that all derivatives are output both smoothed and unsmoothed.
- Z-score Standardize Derivatives [On/Off]: ‘Off’ will produce non-z-scored outputs, and ‘On’ will produce both z-scored outputs and non-z-scored outputs.
Configuration Using a YAML File¶
The following key/value pairs must be defined in your pipeline configuration YAML for C-PAC to run the after warping options:
| Key | Description | Potential Values |
|---|---|---|
| fwhm | Full Width at Half Maximum of the Gaussian kernel used during spatial smoothing. | A list of numerical values (e.g.,[2.5,6]). |
| runZScoring | Determines format of outputs. 0 will produce non-z-scored outputs, 1 will produce z-scores of outputs. | A list where ‘1’ represents ‘yes’ and ‘0’ represents ‘no’ (e.g., ‘[1]’). |
External Resources¶
- Smoothing FAQ - MIT Mindhive
- Smoothing - CBU Imaging Wiki
References¶
Ashby, F.G., (2011). Preprocessing. Statistical Analysis of MRI Data. Cambridge, MA: MIT Press.
Poldrack, R. A., Mumford, J., & Nichols, T. (2011). Preprocessing fMRI data. In Handbook of Functional MRI Data Analysis. Cambridge: Cambridge University Press.


State seeks public input on plan for newly-acquired wilderness area
by HNN StaffHONOLULU, Hawaii (HawaiiNewsNow) - The state is seeking public input on a plan for a 2,800-acre wilderness area in Central Oahu.
The state acquired the forest and former agricultural last in 2018.
The plan for the Helemano Wilderness Area is designed to serve as a tool to promote recreation across the vast acreage while also preserving its natural beauty.
To view the plan and weigh in, click here.
Copyright 2019 Hawaii News Now. All rights reserved.


WITNESS LIST Environmental Regulation Committee March 29, 1999-2:00P HB 2390 For: du Toit, Jane (Self and People United for the Environment) Anderson, Sparky (Clean Water Action) Benold, Stephanie (Self and Texas PTA) Carman, Neil (Sierra Club) Cordova, Lupe (Self and Mothers For Clean Air, Woodland Acres Chapter) Gregory, Susan (PATH 501 c3 Urban Preservation & Conservation Eco-Education Group & Sierra Club) Griggs, David (Self and Dallas Sierra Club Regional Group) Johnson, April (Self and Sierra Club - Dallas) Johnson, Scott (Self) Koch, Jim (Self) Main, Todd (Self and Texas Campaign for the Environment) Marcotte, Ian (Self) McElfish, Esther (Self) McWilliams, Bennie (Self and American Lung Association of Texas) Richards, Judy (City of Duncanville) Riordan, Michael (Self) Ruth, Rita (Self and People's Action Coalition) Schonborn, Josh (Self) Seay, Molly Rooke (Self) Smith, George (Self and Sierra Club) Smith, Tom Smitty (Public Citizen Members) Trepagnier, Don (Self and Bastrop County Environmental Network (BCEN)) Against: Fisher, Jon (Texas Chemical Council) Gibbs, Gary (Central & South West Corp.) Miksa, Mary (Texas Assoc. of Business & Chambers of Commerce) On: Altman, Pete (SEED Coalition) Alvarez, Ramon (Environmental Defense Fund) Saitas, Jeff (Texas Natural Resource Conservation Commission) Schanbacher, David C. (Texas Natural Resource Conservation Commission) HB 2504 For: Bryson, Mark (Alcoa-Rockdale Operator) Eckert, W.T., Jr. (ALCOA) Fisher, Jon (Texas Chemical Council) Gibbs, Gary (Central & South West Corp.) Guldberg, Peter (Foundation for Clean Air Progress) Miksa, Mary (Texas Association of Business & Chambers of Commerce) Morphew, Cindy (Texas Oil & Gas Association) Nolen, Larry (United Steelworkers of America) Schneebeli, Earl Wayne (Self and Membership of IBEW Local 2078 Rockdale, Tx) Stansell, Wade (Association of Electric Companies of Texas) Stewart, Michael (Self and Tx. Aggregates & Concrete Assn.) Stewart, Ricky L. (Self) Against: du Toit, Jane (Self and People United for the Environment) Anderson, Sparky (Clean Water Action) Benold, Stephanie (Self and Texas PTA) Cordova, Lupe (Self and Mothers for Clean Air) Gregory, Susan (Self and PATH 501 c3 Eco-Education group for urban preservation & conservation in Dallas schools & homes) Griggs, David (Self and Dallas Sierra Club Regional) Johnson, April (Self and Sierra Club, Dallas) Johnson, Scott (Self) Koch, Jim (Self) Main, Todd (Self and Texas Campaign for the Environment) McElfish, Esther (Self) Ruth, Rita (Self and Peoples Action Coalition) Schonborn, Josh (Self) Seay, Molly Rooke (Self) Smith, George (Self and Sierra Club) Smith, Tom Smitty (Public Citizen's Members) On: Alvarez, Ramon (Environmental Defense Fund) Herrington, Jim (PACE International Union) McKee, Herbert C. (Self) Saitas, Jeff (Texas Natural Resource Conservation Commission) Schanbacher, David C. (Texas Natural Resource Conservation Commission) HB 2597 For: Dougal, Leonard (Reckett & Coleman) Fagan, Jennifer (Reckett & Coleman) On: Hsu, Victoria (TNRCC - Texas Natural Resource Conservation Commission) HB 2619 For: Gahm, Brad (Pro Cycle Oil and Metals) Nickerson, Jim (Self) Ramirez, Ken (U.S. Filter) Against: Sauer, Nancy (Penzoil-Quaker State Co.) On: Ing, Leigh (Texas Natural Resource Conservation Commission) HB 2668 For: Kramer, Ken (Lone Star Chapter, Sierra Club) Mertens, Sharon (Self and Radian International) On: Maserang, David (Tx. Dept. of Health) HB 3085 For: Sisk, Cathy (Harris County) Against: Bonnett, George R. (Texas Public Works Association / Texas Municipal League) On: Ing, Leigh (Texas Natural Resource Conservation Commission) HB 3288 For: Anderson, Sparky (CWA) Johnson, Scott (Self) Kramer, Ken (Lone Star Chapter, Sierra Club) Saletan, Louie (Self) On: Williams, Darrell (Texas Natural Resource Conservation Commission) HB 3303 For: Miksa, Mary (Texas Association of Business & Chambers of Commerce) On: Anderson, Israel (Texas Natural Resource Conservation Commission) West, Cathy (Comptroller of Public Accounts)


Enterprise Bootstrap Website Builder
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Drag And Drop Elements To Create The UI
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{% extends "base.html" %} {% block head_title %}Buildings || {{ block.super }}{% endblock head_title %} {% block content%} {% include "_modal.html" %}
| # | Code | Name | Read / Update / Delete |
|---|---|---|---|
| {{ forloop.counter }} | {{ building.code }} | {{ building.name }} |
No buildings added yet.
{% endif %}


What is it?
ferret is a web scraping system aiming to simplify data extraction from the web for such things like UI testing, machine learning and analytics. Having its own declarative language, ferret abstracts away technical details and complexity of the underlying technologies, helping to focus on the data itself. It's extremely portable, extensible and fast.
Quick StartLorem Ipsum
Lorem ipsum dolor sit amet consectetur adipisicing elit. Nemo rem magni culpa. Officia, magnam voluptatum suscipit minus excepturi eos quo velit delectus, impedit nisi vel. Alias corrupti itaque ullam quisquam?
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[gecode-users] installation
Mikael Zayenz Lagerkvist
zayenz at gmail.com
Tue Mar 20 07:54:49 CET 2007
On 3/19/07, penche21 penche21 <penche21 at hotmail.com> wrote:
> Now I got examples folder running.
That's great.
> But when I tried my own project it gave errors nearly for every method.
>
> Then I noticed that examples have the statement:
> public class Money extends Space {...}
> whereas I have - though I dont why or the difference between:
> public class Project extends Gecode {..}
As in Gecode, classes should extend the Space class.
Before Gecode/J 1.0.0 the class to extend was the Gecode class. Now
this class is just a collection of static functions.
> when I changed from extends Gecode to extends Space erros downed to 1.
> >can not find symbol lex (this, matrix.row(2), IRT_LE, matrix.row(3) );
>
> I import:
> import static org.gecode.Gecode.*;
> import static org.gecode.GecodeEnumConstants.*;
> import org.gecode.*;
>
> it ,somehow, yells for lex?
That is because there is no constraint named lex in Gecode/J. It is
simply called rel:
http://www.gecode.org/gecodej/doc/group__TaskIntIntRel.html
In Gecode the Minimodel package has some additional names for some
constraints, for example for lex. These are not in the Gecode/J
package though. Might be a good idea to add them for the next release.
Cheers,
Mikael
--
Mikael Zayenz Lagerkvist, http://www.ict.kth.se/~zayenz/
More information about the gecode-users
mailing list


The Universal Patient Medical History Management system is a unified interface
which consolidates all patient medical history into one place via both a web
application as well as mobile application(limited privilege on patient end) to prevent
redundant paperwork, and allows patients to visit multiple doctors and hospitals
without having to go through similar tests. It is a Java based management system
which can be managed on a private server(by organisations) or by the government as
per need. The system conserves the authentication privilege and prevents incorrect or
unauthorised update or removal of data without needing to refer to multiple databases
or cross hospital databases.


| Total net profit | -0.44 | Gross profit | 0.52 | Gross loss | -0.96 |
| Profit factor | 0.54 | Expected payoff | -0.03 | ||
| Absolute drawdown | -0.44 | Maximal drawdown (%) | 0.39 (-780.0%) | ||
| Total trades | 16 | Profit trades (% of total) | 6 (37.5%) | Loss trades (% of total) | 10 (62.5%) |
| Long positions (won %) | 10 (40.0%) | Short positions (won %) | 6 (33.33%) | ||
| Largest | profit trade | 0.2 | loss trade | -0.11 | |
| Average | profit trade | 0.09 | loss trade | -0.1 | |
| Minimum | profit trade | 0.03 | loss trade | -0.05 | |
| Maximum | take profit in pips | 24.9 | stop loss in pips | -15.3 | |
| Average | take profit in pips | 15.6 | stop loss in pips | -10.2 | |
| Minimum | take profit in pips | 2.3 | stop loss in pips | -8.8 | |
| Maximum | Reward-Risk | 2.6 | Duration in minutes | 31026 | |
| Average | Reward-Risk | 1.6 | Duration in minutes | 4870.9 | |
| Minimum | Reward-Risk | 0.1 | Duration in minutes | 5 | |
| Maximum | consecutive wins (profit in money) | 2.0 (0.26) | consecutive losses (loss in money) | 4.0 (-0.34) | |
| Average | consecutive wins | 1.0 | consecutive losses | 2.0 |
| Total net profit | -0.25 | Gross profit | 0.35 | Gross loss | -0.6 |
| Profit factor | 0.58 | Expected payoff | -0.02 | ||
| Absolute drawdown | -0.28 | Maximal drawdown (%) | 0.26 (-1300.0%) | ||
| Total trades | 10 | Profit trades (% of total) | 4 (40.0%) | Loss trades (% of total) | 6 (60.0%) |
| Largest | profit trade | 0.2 | loss trade | -0.11 | |
| Average | profit trade | 0.09 | loss trade | -0.1 | |
| Minimum | profit trade | 0.03 | loss trade | -0.05 | |
| Maximum | take profit in pips | 24.9 | stop loss in pips | -15.3 | |
| Average | take profit in pips | 13.9 | stop loss in pips | -11.1 | |
| Minimum | take profit in pips | 2.3 | stop loss in pips | -10.6 | |
| Maximum | Reward-Risk | 2.4 | Duration in minutes | 31026.0 | |
| Average | Reward-Risk | 1.3 | Duration in minutes | 5355.5 | |
| Minimum | Reward-Risk | 0.1 | Duration in minutes | 5.0 | |
| Maximum | consecutive wins (profit in money) | 1.0 (0.2) | consecutive losses (loss in money) | 2.0 (-0.22) | |
| Average | consecutive wins | 1.0 | consecutive losses | 1.0 |
| Total net profit | -0.19 | Gross profit | 0.17 | Gross loss | -0.36 |
| Profit factor | 0.47 | Expected payoff | -0.03 | ||
| Absolute drawdown | -0.21 | Maximal drawdown (%) | 0.18 (-600.0%) | ||
| Total trades | 6 | Profit trades (% of total) | 2 (33.33%) | Loss trades (% of total) | 4 (66.67%) |
| Largest | profit trade | 0.11 | loss trade | -0.09 | |
| Average | profit trade | 0.08 | loss trade | -0.09 | |
| Minimum | profit trade | 0.06 | loss trade | -0.09 | |
| Maximum | take profit in pips | 22.7 | stop loss in pips | -8.8 | |
| Average | take profit in pips | 18.6 | stop loss in pips | -8.8 | |
| Minimum | take profit in pips | 11.8 | stop loss in pips | -8.8 | |
| Maximum | Reward-Risk | 2.6 | Duration in minutes | 6469.0 | |
| Average | Reward-Risk | 2.1 | Duration in minutes | 4063.2 | |
| Minimum | Reward-Risk | Duration in minutes | 2008.0 | ||
| Maximum | consecutive wins (profit in money) | 1.0 (0.06) | consecutive losses (loss in money) | 2.0 (-0.18) | |
| Average | consecutive wins | 1.0 | consecutive losses | 1.0 |


{% extends "base.html" %} {% block body %}
{{ client.name }} would like read-only access to your Rebble account.  Is that OK with you?
{% endblock %}


How to switch from Disney+ to the Disney+ bundle with Hulu and ESPN+
Source: Joe Maring / Android Central
With 24/7 access to Marvel, Star Wars, all of your favorite old-school Disney movies, and even exclusive originals, it's no surprise that Disney+ is as popular as it is. Disney's all-new streaming service is an incredible deal for just $7 a month, but if you want to get even more bang for your buck, the $13-a-month bundle with Disney+, Hulu, and ESPN+ is where it's at. If you signed up for the basic Disney+ service but want to switch your account to the coveted bundle, here's what you need to do.
Products used in this guide
- So much to stream: Disney+ (From $7/month at Disney)
How to switch from Disney+ to the Disney+ bundle with Hulu and ESPN+
Note: This guide is for if you have only signed up for Disney+ and not Hulu and ESPN+. If you want to bundle Disney+ with Hulu and ESPN+ accounts that you already have, you'll need to be sure to use the same email address you use with those accounts. The price difference then will be made up with bill credits. More on all that here.
- Log in to your Disney+ account on your computer.
- Hover your mouse over your profile icon.
- Click Account. Source: Android Central
- Click Switch to Disney bundle. Source: Android Central
- Enter your credit card information or pay with PayPal.
- Click Agree & Subscribe. Source: Android Central
Once this is done, you're ready to start streaming on all three services. Just to make sure everything is up and running as it should be, here's what to do.
- On the confirmation page, after switching to the bundle, click Hulu.
- Enter your email and password.
- Click Continue.
- Click Start Watching Hulu.
Source: Android Central
As for logging into your ESPN+ profile, the process is exactly the same. Just to be crystal clear, though, here's what it looks like.
- On the confirmation page after switching to the bundle, click ESPN+.
- Click Sign Up Now. Source: Android Central
- Click Log in at the bottom of the page.
- Click Stream Now. Source: Android Central
Truth be told, the process for switching is about as simple as can be and takes just a couple of minutes out of your day. The email and password you use for Disney+ are the same ones you'll use for logging into Hulu and ESPN+, making the whole experience very streamlined.
Our top equipment picks
The bundle makes it better
Disney+
So much to watch, especially with the Disney+ bundle.
On its own, Disney+ is an incredible streaming service. However, the real magic lies with the bundle — including Disney+, Hulu, and ESPN+ for just $13 a month. That's a heap of content for the same price as Netflix's Standard plan, making Disney's bundle one of the best streaming values out there.
We may earn a commission for purchases using our links. Learn more.


{% extends "global/Page.html" %} {% load staticfiles otree_tags %} {% block title %} Thank you {% endblock %} {% block content %}
Congratulations. You have completed the session. Thank you for your participation.
Please remain seated until your number is called.
{% endblock %} {% block form %} {% endblock %}


These three Positions
Field.midGoal
,
Field.leftGoal
,
Field.rightGoal
are related to the goal, just in case an agent wants
to access them midGoal indicates the middle
Position
,
leftGoal the left one and rightGoal the right one. Be careful because
they are
integer positions, for example one single Position for
the goal in <5,0> will make all the same, but the top left would be (in
real numbers of DoublePosition) <5,0>, the bottom left <5,1>, the exactly
middle or center <5.5,0.5>, the top right <6,0> and the bottom right
<6,1>. see
Position
and
DoublePosition
for
further detail.


Links hover animations
#1 - left to right
#2 center to tips
#3 left to right
#4 right to left
#5 scaling height
#6 edges to center
#7 top & bottom, left to right + reverse
#8 top & bottom, left to right
#9 top & bottom, right to left
#10 top & bottom tips to center
#11 top & bottom, scaling height
#12 top & bottom, left to right + reverse
#13 top & bottom, tips to center
#14 square effect, center to edges
#15 square effect, symetrical
#16 square effect, simultaneous
#17 square effect, side by side


Edtv Reviewed by Christian Pyle Directed by Ron Howard Written by Lowell Ganz and Babaloo Mandel (based on a screenplay by Emile Gaudreault and Sylvie Bouchard) Starring Matthew McConaughey, Jenna Elfman, Woody Harrelson, Sally Kirkland, Martin Landau, Ellen DeGeneres and Rob Reiner Grade: B
TV producer Cynthia Topping (Ellen DeGeneres) has an idea for a cable network specializing in "reality shows": take an average joe and broadcast his life on TV everyday. A talent search turns up Ed. Ed Pekurny (Matthew McConaughey) is a nobody, a 31-year-old video store clerk with no ambition. He takes the offer and Ed TV is born. The show becomes a phenomenon when a romance develops between Ed and his brother's girlfriend Shari (Jenna Elfman). However, Shari objects to dating with millions of peeping toms watching. Ed doesn't understand; although he's strangely unexcited about being a star, he accepts his on-camera life casually.
Life becomes increasingly difficult for Ed and his family. Everywhere he goes crowds and cameras follow, and the constant attention threatens to devour everyone around him. "USA Today" takes polls on whether Shari is good enough for Ed. When Ed's father (Dennis Hopper) returns after a twenty-year absence, the cameras record Ed's emotional confrontation with his mother (Sally Kirkland) and stepfather (Martin Landau). When Ed decides he wants out, the network executive (Rob Reiner) says that Ed's contract gives them the right to film him for as long as they want.
When "Edtv" was first advertised, I had the same reaction as most people: "Didn't they already make this movie? It was called 'The Truman Show.'" I ignored the denials of director Ron Howard and various stars as they made the rounds on interview shows and waited until "Ed" came creeping to cable before seeing it. There are basic similarities in the plots of "Ed" and "Truman" (man's life is broadcast on TV, man decides he wants out of the glass house) and in the things they satirize (loss of privacy, pop culture crazes), but the focus is entirely different. In "Truman" those issues were secondary to the more esoteric theme of an everyman (Jim Carrey as Truman) discovering that a god (Ed Harris) controls his life. In the best parts of "Ed," the focus is squarely on the twin streams of voyeurism and exhibitionism that fuel our media-saturated society. And the other parts? By the end, the romantic comedy has taken over center stage, and the movie's attempts to imitate the comedy of "There's Something About Mary" fall flat (like Ed does on Elizabeth Hurley's cat in one such scene).
Matthew McConaughey is the worst actor in Hollywood, but he seems to have finally found his niche in this movie. He was incredibly unconvincing as a lawyer (in "A Time to Kill" and in "Amistad") and as a theologian (in "Contact"), but as a lazy doofus McConaughey lives the part. Among the supporting cast, Martin Landau deserves special mention for his touching performance as Ed's ailing but still upbeat stepfather.
 The Ed TV broadcasts include an advertising area at the bottom of the screen, and the logos of many real life corporations appear there. Pepsi even puts a soda machine in Ed's apartment. Also, cameos abound. Look for Jay Leno, Bill Maher, RuPaul, Michael Moore, George Plimpton, Merrill Markoe, and Arianna Huffington to appear as themselves.
Bottom line: When "Ed" is on target, it fires straight and true. The rest we've seen before.
© 2000 Christian L. Pyle
Read my reviews and others at the Mad Review: http://www.madreview.com/main.html
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Introduction to Programming Nanodegreee.
One of the first things need to understand is some basics for HTML which stands for Hyper Text Markup Language. This is the language used by the web and is the majority of what is found on the web.
The World Wide Web is a collection of HTML documents - over 30 billion and counting. There are multiple types of files on the web - Plain Text, HTML, Images, Videos, and Music. Just about anything can exist on the web.
When getting information from the Web there are steps that are done to get the information you are looking for.
1. You enter your request through the browser on your computer
2. The browser sends it to the Internet.
3. The Internet then searches servers using HTTPs. HTTP is the main protocal of the web. Once the information is found it is sent to your computer.
HTML Info
HTML does spacing differently from what you are used to. It treats an area of white space between letters as a signle space. It could actual be just one space or it could be a couple of lines of white space. Either way it is just one space to HTML. This is why if the correct tags are not used all lines or words entered on HTML will run together and become one long line.
HTML Tags:
HTML tags are used to do something specific whith what is contained within the tags. Most tags are paired - that is a beginning tag and a closing tag. This tells HTML where to start and where to end. If there is not a closing tag then HTML will keep on doing what it started. If you want a word to be in bold print and you leave off the closing tag then all words after the beginning tag will be bold. While most tags also have a closing tag there are a few tags that do not have closing tags. These are known as Void Tags.
HTML tags can also be classifed as In Line or Block tags. Block tags actually makes a box around the verbiage that is within the beginning and closing tags. The In Line tags does not create any sort of box or spacing around the verbiage.
When working with a tag the entire thing is known as an element. The element is made up of the tags and the contents. The tag name and the closing tag name is enclosed in brackets (<>) with a '/' being put before the tag in the closing tag.
tag name - contents - closing tag name
An example would be: I like this course where 'em' is the opening tag, "I like this course" is the content, and '/em' is the closing tag.
Some HTML tags:
'a' and '/a' is the anchor tag - it is used for making links
'b' and '/b' is to make the contents bold
'em' and '/em' is to make the contents italics
'img' is used for pictures and images - there is no closing tag
'br' is to make a line break - there is no closing tag
'p' and '/p' is for paragraph - the contents will be put in a box (which is not seen)
'strong'
'div'
'form'
In Line HTML Tags:
'b'
'em'
'img'
'span'
'br'
'a'
'strong'
Block HTML Tags:
'p'
'div'
'form'
Void HTML Tags (no closing tag needed):
'br'
'img'


PLANET SICK-BOY: http://www.sick-boy.com
Who hasn't dreamed of becoming a filmmaker? Of receiving a standing ovation after screening your film for the first time?  If you have, then American Movie will bring those dreams crashing down to reality. It's a hilarious documentary that follows a struggling young filmmaker's attempt to complete a black-and-white horror short about zombies.
The aspiring Spielberg is Mark Borchardt, a high-school dropout from the blue-collar Wisconsin suburb Menominee Falls. He has a paper route and three kids. He's a greasy metal-head with long hair, thick glasses and bad facial hair. His brother fears that Mark is more suited to becoming a stalker or serial killer than a filmmaker, perhaps fearing that he could be a victim. Mark even pronounces the name of the film he's making incorrectly. It's Cöven, but Mark says `COH-vin.' He explains that the correct pronunciation of the word `coven' sounds just like the word `oven,' and that can't be right. Mark sees Cöven as a cash-cow project that will allow him to fund his dream project – a feature film about his hometown called Northwestern. He plans to sell 3,000 Cöven videos at $15 each. Despite these quirks, Mark is actually an intelligent man with an obvious eye for cinema. An eye like Ed Wood, but an eye nonetheless.
Movie opens with Mark telling the audience the importance of not blowing important opportunities because second chances are hard to come by. He learned this lesson the hard way, as we soon see footage of Mark on a local radio show, where he was supposed to be talking up a short film that he made called Creeps. Instead, Mark showed up at the radio station under a beer/marijuana spell that left him babbling incoherently on the air.
We see Mark open his mail, which includes letters from creditors that threaten legal action. We also see an offer of a new credit card, followed by a gleam in Mark's eye as he realizes he can stay financially afloat a bit longer thanks to this pre-approved offer. We also see clips of other Super 8 horror shorts that Mark has made, including, at age 14, The More the Scarier. If the title cracks you up, just think about the two sequels (and the unfinished third).
Realizing he doesn't have the financing to continue Northwestern, Mark decided to complete Cöven, a film he has abandoned on and off over a seven-year period. His Uncle Bill reluctantly provides start-up money for Mark after his nephew flashes headshots of a beautiful model that he hopes to land for Cöven. Mark's best friend Mike, a burnt-out slacker, often accompanies him, playing a portly Abbott to Mark's stringy Costello. Jay and Inarticulate Bob, perhaps. In fact, because of the cavalcade of bizarre characters, you might think this is a mockumentary (a la This is Spinal Tap!). But it's real.
Movie's director Chris Smith follows Cöven from Uncle Bill's financing through the local premiere, set against the backdrop of Mark's thirtieth birthday and the Green Bay Packers 1998 Super Bowl victory. Smith's project, which was originally supposed to take six months, stretched to over two years as Mark continually ran into filming and financial obstacles. The two met while editing separate projects and Smith was taken by Mark's enthusiasm toward filmmaking. You too will be drawn into Mark's world, which, although sometimes frightening and often unintentionally hysterical, is really a very poignant portrayal of the American Dream.
1:47 – R for adult language and drug content
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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Grid-based design is sort of like boxes on websites, in that it's ubiquitous and foundational to all websites. Grid based design is a way to organize the information on a page to follow the way that we naturally read a page - left to right, and top to bottom.
Responsive webpages are really important to make sure that your page can be read on every type of screen. Since today people are browsing the internet on all sorts of devices with all sorts of screen sizes (from gigantic monitors to tiny cellphones), it's important that a developer makes their work look good and readable on all screen sizes.
These are the tags that can be easily read by scanning the code. It includes tags like headings, img, links (a href), etc. They're semantic structure because they're more part of our everyday language.


Javalanche report for class:
org.joda.time.field.DecoratedDurationField
1: /*
2: * Copyright 2001-2005 Stephen Colebourne
3: *
4: * Licensed under the Apache License, Version 2.0 (the "License");
5: * you may not use this file except in compliance with the License.
6: * You may obtain a copy of the License at
7: *
8: * http://www.apache.org/licenses/LICENSE-2.0
9: *
10: * Unless required by applicable law or agreed to in writing, software
11: * distributed under the License is distributed on an "AS IS" BASIS,
12: * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13: * See the License for the specific language governing permissions and
14: * limitations under the License.
15: */
16: package org.joda.time.field;
17:
18: import org.joda.time.DurationField;
19: import org.joda.time.DurationFieldType;
20:
21: /**
22: * DecoratedDurationField extends {@link BaseDurationField},
23: * implementing only the minimum required set of methods. These implemented
24: * methods delegate to a wrapped field.
25: *

26: * This design allows new DurationField types to be defined that piggyback on
27: * top of another, inheriting all the safe method implementations from
28: * BaseDurationField. Should any method require pure delegation to the
29: * wrapped field, simply override and use the provided getWrappedField method.
30: *

31: * DecoratedDurationField is thread-safe and immutable, and its subclasses must
32: * be as well.
33: *
34: * @author Brian S O'Neill
35: * @see DelegatedDurationField
36: * @since 1.0
37: */
38: public class DecoratedDurationField extends BaseDurationField {
39:
40: private static final long serialVersionUID =<PHONE_NUMBER>647420015L;
41:
42: /** The DurationField being wrapped */
43: private final DurationField iField;
44:
45: /**
46: * Constructor.
47: *
48: * @param field the base field
49: * @param type the type to actually use
50: */
51: public DecoratedDurationField(DurationField field, DurationFieldType type) {
52: super(type);
53: if (field == null) {
54: throw new IllegalArgumentException("The field must not be null");
55: }
56: if (!field.isSupported()) {
57: throw new IllegalArgumentException("The field must be supported");
58: }
59: iField = field;
60: }
61:
62: //-----------------------------------------------------------------------
63: /**
64: * Gets the wrapped duration field.
65: *
66: * @return the wrapped DurationField
67: */
68: public final DurationField getWrappedField() {
69: return iField;
70: }
71:
72: public boolean isPrecise() {
73: return iField.isPrecise();
74: }
75:
76: public long getValueAsLong(long duration, long instant) {
77: return iField.getValueAsLong(duration, instant);
78: }
79:
80: public long getMillis(int value, long instant) {
81: return iField.getMillis(value, instant);
82: }
83:
84: public long getMillis(long value, long instant) {
85: return iField.getMillis(value, instant);
86: }
87:
88: public long add(long instant, int value) {
89: return iField.add(instant, value);
90: }
91:
92: public long add(long instant, long value) {
93: return iField.add(instant, value);
94: }
95:
96: public long getDifferenceAsLong(long minuendInstant, long subtrahendInstant) {
97: return iField.getDifferenceAsLong(minuendInstant, subtrahendInstant);
98: }
99:
100: public long getUnitMillis() {
101: return iField.getUnitMillis();
102: }
103:
104: }
| ID | Line | Type | Detected |
|---|
| 5790 | 53 | Negate jump condition (Replace IFNONNULL with IFNULL) | |
| 5792 | 56 | Negate jump condition (Replace IFNE with IFEQ) | |
| 5791 | 56 | Remove method call | |
| 5793 | 73 | Remove method call | |
| 5794 | 77 | Remove method call | |
| 5795 | 81 | Remove method call | |
| 5796 | 85 | Remove method call | |
| 5797 | 89 | Remove method call | |
| 5798 | 93 | Remove method call | |
| 5799 | 97 | Remove method call | |
| 5800 | 101 | Remove method call | |


interpublic-group
Businessmodel of Interpublic Group
Customer Segments
Interpublic Group provides a range of services to a large and diverse client base, comprising commercial entities across multiple business sectors. The Company’s largest client sectors, based on revenue, are:
- Automotive and Transportation, including automotive manufacturers, transportation companies, and fleet management companies;
- Healthcare, comprising healthcare providers, medical suppliers, pharmaceutical companies, and biopharmaceutical businesses; and
- Technology and Telecom, comprising technology and software companies, telecommunications operators, mobile network providers, and television network service providers. Interpublic Group also provides services to customers across the consumer goods, retail, and cosmetics industries. The Company has included among its customers a number of high-profile companies, such as Johnson and Johnson, General Motors, Unilever, Microsoft, and L’Oreal.
Interpublic Group operates agencies across more than 100 countries worldwide, spanning all of the world’s largest markets. The Company’s largest market remain the US, which accounts for almost 60% of the Company’s revenue. The Company also generates significant portion of its revenue from customers in the UK, Continental Europe, Asia Pacific and Latin America.
Value Propositions
Interpublic Group provides value to its customers in the following ways:
- Its expert and experienced industry personnel, with the Company employing expert personnel across its two operating segments, as well an experienced team of senior executives;
- Its global reach, with the Company operating across more than 100 countries worldwide, with customers spanning the Americas, Europe, and Asia Pacific;
- Its innovative media offerings, with the Company providing competitive and effective traditional media buying to major clients, as well as automated digital ad buying, and data and analytics;
- Its integrated marketing solutions, with the Company providing solutions that integrate talent from throughout the Company in order to fulfil the needs of its largest clients; and
- Its digital capabilities, with the Company investing in digital technology capabilities – including search, social, user experience, content creation, and data and analytics – in order to provide state-of-the-art solutions. ### Channels
Interpublic Group operates a website at www.interpublic.com, through which it provides information on its various services, solutions, and activities. The Company does not operate an online sales channel through its website; it does, however, provide a search facility that enables customers to find appropriate agencies for their individual needs. Interpublic Group’s numerous agencies also operate their own online channels and websites, through which the provide information on their operations.
Interpublic Group provides services to customers directly through teams of consultants. These industry professionals operate out of the Company’s international network of agencies, which spans more than 100 countries worldwide, including in large markets such as the US and the UK, as well smaller markets such as Senegal, Mozambique and Guatemala. Interpublic Group operates three global networks: McCann Worldgroup; Foote, Cone and Belding; and MullenLowe Group, which provide integrated, large-scale advertising and marketing solutions.
Customer Relationships
Interpublic Group does not operate a self-service sales channel. Customers, however, are able to search the Company’s website for appropriate agencies to fulfil their needs. The Company makes its sales to customers through its various international agencies, with its specialist personnel consulting directly with clients in order to provide bespoke solutions that fully cover the individual requirements of each client.
Interpublic Group assigns dedicated account management teams to its largest clients, providing ongoing support and regular communications. The Company seeks to establish longstanding recurring client relationships. Existing and prospective clients are able to contact Interpublic Group’s sales and support teams over the phone and via email, they are also able to find contact details for the Company’s numerous agencies through their respective websites.
Additionally, Interpublic Group is able to interact with its customers through its social media accounts – including with Twitter and Facebook - as well as through the social media accounts of its numerous network agencies.
Key Activities
Interpublic Group is an advertising and marketing services company. It operates a network of subsidiary companies and agencies that are engaged in consumer advertising, digital marketing, communications planning and media buying, public relations and specialised communications services across the world.
Interpublic Group organises its activities into two segments: Integrated Agency Networks, which includes the operations of McCann Worldgroup, Foote, Cone and Belding, MullenLowe Group, IPG Mediabrands, digital specialist agencies and domestic integrated agencies; and Constituency Management Group, which includes the operations of Weber Shandwick, Cassidy, DeVries, Golin, FutureBrand, Jack Morton and Octagon Worldwide, and provides clients with various public relations, event production, sports and entertainment marketing, corporate and brand identity, and strategic marketing services.
Key Partners
Interpublic Group works alongside a number of partner companies and organisations in providing its services to customers. These partners can be categorised broadly as:
- Supplier and Vendor Partners, comprising suppliers of various tools, resources, services, and technologies that are utilised across the Company’s numerous agencies, as well as companies to which certain non-technical functions can be outsourced;
- Strategic and Alliance Partners, comprising a range of companies and organisations with which the Company shares resources and collaborates on joint projects; and
- Technology and Digital Partners, comprising a range of technology companies and fellow agencies that provide digital services, such as an analytics and search services, and technology systems that support and supplement the Company’s offerings. Interpublic has launched a number of partnerships win recent years. This includes a venture partnership with R/GA Ventures, under which the two companies will provide support to growth-stage and early-stage startups that are leveraging new technologies such as artificial intelligence and machine for various platforms including messaging, voice activation, and nascent software innovations.
Key Resources
Interpublic Group’s key resources are its brands and intellectual properties, its network of offices and agencies, its IT and communications infrastructure, its specialist personnel, its partnerships, and its sales and distribution channels.
Interpublic Group leases a network of offices from third parties across more than 100 countries. This includes properties across the Americas, Europe, and Asia Pacific.
Cost Structure
Interpublic Group incurs costs in relation to the management of its network of agencies, the maintenance of its IT and communications infrastructure, the management of its partnerships, the operation of its sales and distribution channels, and the retention of its personnel.
In 2015 Interpublic Group’s largest cost related to the payment of salaries and benefits to its international workforce of 49,200 employees, which totalled $4.86 billion for the year. The Company also accrued substantial office and general expenses – including rental costs, professional fees, and other expenses incurred in servicing its clients – which amounted to $1.89 billion.
Revenue Streams
Interpublic Group primarily generates revenue through the planning and execution of multi-channel advertising, marketing, and communications programs to an international client base. Revenues from the creation, planning and placement of advertising are primarily derived on a negotiated fee basis and, to a lesser extent, on a commission basis, with fees typically calculated to reflect hourly rates plus proportional overhead and a mark-up. Commissions are earned based on services provided and are derived primarily from a percentage or fee over the total cost to complete an assignment.
In 2015 Interpublic Group generated annual revenue of $7.61 billion, up marginally on the $7.54 billion recorded by the Company in 2014. The vast majority of the Company’s revenue was generated by its Integrated Agency Networks segment, which recorded annual revenue of $6.14 billion. The Company’s Constituency Management Group segment generated $1.47 billion in revenue.


See! I changed!. You can have as many updating containers on the page as you need.

See! I changed!. You can have as many updating containers on the page as you need.


| irrig | <http://www.w3id.org/def/irrig> |
| schema | <http://schema.org> |
| def | <http://www.w3id.org/def> |
| owl | <http://www.w3.org/2002/07/owl> |
| documentation | <https://irstea.github.io/caso/OnToology/ontology/caso.owl/documentation> |
| saref | <https://w3id.org/saref> |
| research-units | <https://www.irstea.fr/en/research/research-units> |
| xsd | <http://www.w3.org/2001/XMLSchema> |
| skos | <http://www.w3.org/2004/02/skos/core> |
| rdfs | <http://www.w3.org/2000/01/rdf-schema> |
| orcid-org | <http://orcid.org> |
| ssn | <http://www.w3.org/ns/ssn> |
| saref4agri | <https://w3id.org/def/saref4agri> |
| caso | <http://www.w3id.org/def/caso> |
| rdf | <http://www.w3.org/1999/02/22-rdf-syntax-ns> |
| rdflicense | <http://purl.org/NET/rdflicense> |
| terms | <http://purl.org/dc/terms> |
| om-2 | <http://www.ontology-of-units-of-measure.org/resource/om-2> |
| vann | <http://purl.org/vocab/vann> |
| dc | <http://purl.org/dc/elements/1.1> |
| sosa | <http://www.w3.org/ns/sosa> |


UCloudGPUImageCannyEdgeDetectionFilter Class Reference
| Inherits from | UCloudGPUImageFilterGroup : UCloudGPUImageOutput : NSObject |
|---|---|
| Declared in | UCloudGPUImageCannyEdgeDetectionFilter.h |
Overview
This applies the edge detection process described by John Canny in
Canny, J., A Computational Approach To Edge Detection, IEEE Trans. Pattern Analysis and Machine Intelligence, 8(6):679–698, 1986.
and implemented in OpenGL ES by
- Ensor, S. Hall. GPU-based Image Analysis on Mobile Devices. Proceedings of Image and Vision Computing New Zealand 2011.
It starts with a conversion to luminance, followed by an accelerated 9-hit Gaussian blur. A Sobel operator is applied to obtain the overall gradient strength in the blurred image, as well as the direction (in texture sampling steps) of the gradient. A non-maximum suppression filter acts along the direction of the gradient, highlighting strong edges that pass the threshold and completely removing those that fail the lower threshold. Finally, pixels from in-between these thresholds are either included in edges or rejected based on neighboring pixels.
texelWidth
The image width and height factors tweak the appearance of the edges.
@property (readwrite, nonatomic) CGFloat texelWidth
Discussion
These parameters affect the visibility of the detected edges
By default, they match the inverse of the filter size in pixels
Declared In
UCloudGPUImageCannyEdgeDetectionFilter.h
texelHeight
The image width and height factors tweak the appearance of the edges.
@property (readwrite, nonatomic) CGFloat texelHeight
Discussion
These parameters affect the visibility of the detected edges
By default, they match the inverse of the filter size in pixels
Declared In
UCloudGPUImageCannyEdgeDetectionFilter.h
blurRadiusInPixels
The underlying blur radius for the Gaussian blur. Default is 2.0.
@property (readwrite, nonatomic) CGFloat blurRadiusInPixels
Declared In
UCloudGPUImageCannyEdgeDetectionFilter.h
blurTexelSpacingMultiplier
The underlying blur texel spacing multiplier. Default is 1.0.
@property (readwrite, nonatomic) CGFloat blurTexelSpacingMultiplier
Declared In
UCloudGPUImageCannyEdgeDetectionFilter.h
upperThreshold
Any edge with a gradient magnitude above this threshold will pass and show up in the final result.
@property (readwrite, nonatomic) CGFloat upperThreshold
Declared In
UCloudGPUImageCannyEdgeDetectionFilter.h
lowerThreshold
Any edge with a gradient magnitude below this threshold will fail and be removed from the final result.
@property (readwrite, nonatomic) CGFloat lowerThreshold
Declared In
UCloudGPUImageCannyEdgeDetectionFilter.h


--- layout: default title: Quick Tournament #53 - DDraceNetwork head: menu: |
---This tournament is played on Sunday, 2020-12-20 at 18:00 CET.
by Silex, Im 'corneum & louis
Difficulty: ★★★★✰, Points: 27
3 tees finished (average time: 01:04:32)
1 team finished (biggest team: 3)
| 1. | 2020-12-20 22:56 | LCSG47/Mizkibo, Shawn. & reo |


Gecode::ProjectorCompiler Class Reference
#include <projectors-compiler.hh>
Detailed Description
Compiler from projector specifications to C++.Definition at line 70 of file projectors-compiler.hh.
Configuration options | |
| bool | compiletest |
| Whether to generate a test case, default=false. | |
| FixpointType | fixpoint |
| What fixpoint to compute, default=ITER_FIX. | |
| ViewsType | views |
| How generic the propagator is, default=SINGLE_VIEW. | |
Public Types | |
| enum | FixpointType { NO_FIX, ITER_FIX } |
| Description of the fixpoint to compute. More... | |
| enum | ViewsType { SINGLE_VIEW, MULTI_VIEW } |
| Description of how generic the propagator should be. More... | |
Public Member Functions | |
| ProjectorCompiler (std::ostream &hhos, std::ostream &iccos, const ProjectorPropagatorSpec &spec) | |
| Construct compiler. | |
| void | compile (void) |
| Do the compilation. | |
Classes | |
| class | Indent |
| Indentation helper class. More... |
Member Enumeration Documentation
Description of the fixpoint to compute.
- Enumerator:
-
NO_FIX Do not compute fixpoint, return ES_NOFIX. ITER_FIX Compute fixpoint by iteration.
Definition at line 131 of file projectors-compiler.hh.
Description of how generic the propagator should be.
- Enumerator:
-
SINGLE_VIEW Make propagator parametric in a single view. MULTI_VIEW Make propagator parametric in one view per variable.
Definition at line 136 of file projectors-compiler.hh.
Constructor & Destructor Documentation
| Gecode::ProjectorCompiler::ProjectorCompiler | ( | std::ostream & | hhos, | |
| std::ostream & | iccos, | |||
| const ProjectorPropagatorSpec & | spec | |||
| ) |
Member Function Documentation
| void Gecode::ProjectorCompiler::compile | ( | void | ) |
Member Data Documentation
Whether to generate a test case, default=false.
Definition at line 144 of file projectors-compiler.hh.
How generic the propagator is, default=SINGLE_VIEW.
Definition at line 148 of file projectors-compiler.hh.
The documentation for this class was generated from the following files:
- gecode/set/projectors-compiler.hh (Revision: 4790)
- gecode/set/projectors/compiler.cc (Revision: 5862)


Adding and Subtracting
What is 4 + 6?
9
7
10
11
What is 7 + 9?
13
16
18
15
What is 10 + 8?
17
15
20
18
What is 3 + 5?
8
7
10
11
What is 7 + 9?
13
16
18
15
What is 14 - 6?
7
9
8
10
What is 25 - 7?
18
16
19
20
What is 17 - 9?
9
8
12
10
What is 12 - 4?
10
9
7
8
What is 18 - 6?
10
7
11
12


Search a set of pre-made bar crawls submitted by previous users.
Search for bars and create customized bar crawls that suit your own needs and interests.
Create an account and set your personal preferences.
Bud’s and Suds brings people closer…….to beer! Our app allows users to find, create and modify bar crawls around the city. With the ability to join an existing crawl, create a custom crawl, invite as many “Bud’s” as you want and to edit and monitor the progress of the crawl, this is the only crawl app you’ll ever need. The integrated map feature allows users to check-in to each bar upon arrival and keep tabs on each individual “Bud” in real time throughout the crawl to ensure no “Bud” is left behind. Bud’s and Suds also allows users to create custom profiles with drink preferences, interests, favorite sports / teams, music and location. There’s even a place to indicate if you’re available for dating to let other users know that you’re single and ready to mingle! All these amazing features make Bud’s and Suds your one-stop shop for a responsibly planned night of crawling for beers with your buds


%nav_title%
%nav_producers%
%navigation_producers%
%nav_reports%
%navigation_reports%
%nav_info%
%navigation_info%
%nav_about%
%h1%
%content%


Inspired by Parsing JSON with a single regex brian d _foy http://blogs.perl.org/users/brian_d_foy /2013/10/parsing-json-with-a-single-regex.html and Buddy Burden http://blogs.perl.org/users/buddy_burden /2013/06/slideshows-in-vroom-so-noted.html
Actually I am delighted by Brian D Foy as
He plays with regexes


Toggle navigation
Portfolio Manager
Hello, Arjun
Dashboard
Rules
Go Live
Portfolio Manager
Configurations
Invite Users
Data Oracles
Allocations


Assessment Outline: Advanced Methods: Assessment 10
Deploy their website to a third-party hosting service such as Heroku.
Understand the structure and definition of a recursive algorithm Distinguish between iterative and recursive functions Recognize problems where recursion would be a good solution Solve coding challenges using recursion
Understand memoization Recognize the benefit in runtime complexity when using memoization Write code that uses memoization Explain the differences in runtime with memoization, tabulation and regular recursion
Learn maps. Learn sets. Know the difference between maps and objects. Create and use maps & sets.
Explain why Agile became popular in the software development world Identify the difference between plan-driven and Agile development Understand Agile values and principles Name and understand at least 2 Agile methods and some technical and process-oriented tools
Understand the intent of refactoring Know when to refactor and when not to Know the potential impacts of refactoring
Participants will be able to learn the basics of functional programming in JavaScript: map filter reduce mutation
explain caching explain minification


Thank you for visiting BusMall! Below you will find all of the products that we currently carry. Please follow the below instructions: 1. Fill out your contact information in the form below and submit it. 2. Select an item and the quantity and add that item to your cart. 3. Once you have made all your selections, click the 'Go to Cart' button to see all the items you have selected!


Heroine - Marc E. Bassy
Eleven - Khalid
Hit Me Up - Omar Apollo, Dominic Fike
Frio - Omar Apollo
Someone You Loved - Lewsi Capaldi
Why - Bazzi
Need Somebody - Xuitcasecity
Right Now - Nick Jonas, Robin Schultz
I Don't Wanna Know - Mario Winans, P. Diddy, Enya
Cold War - Cautious Clay
Take Off - Conor Maynard
Drowning - Mario
Blinding Lights - The Weeknd
Let Me Love You - Mario
Closed On Sunday - Kanye West
Chivalry is Dead - Trevor Wesley
Let Me Go - The Weeknd
Grenade (Ruined Vibe Version) - Bruno Mars
Your Shirt - Chelsea Cutler
Some Nights (Ruined Vibe Version) - fun.
Lego House - Ed Sheeran
Start it Right - THEMXXNLIGHT
talk is overrated (stripped) - Jeremy Zucker
Nocturne - EDEN
Don't Let Me Down (Cover) - Conor Maynard
FRZZN - Ozzie, Teflon Saga
Try - Colbie Caillat
Bakara - Kayo, Nathan Deterville
When it Comes to You - Sean Paul
Ivy - Frank Ocean
Slow Dancing in the Dark - Joji
Nights Like This - Kehlani, Ty Dolla $ign
I don't even speak spanish lol - XXXTentacion
I See Fire - Ed Sheeran
White Ferrari - Frank Ocean
Please - Chelsea Cutler
Slow Motion - SLANDER
Be Honest - Jorja Smith
Use this Gospel - Kanye West
On God - Kanye West
Drowning - Mario
Hold on Tight (Acoustic) - R3HAB, Conor Maynard
July - Kris Wu
Bind your Love - Cher Lloyd
I Found - Amber Run
All Mine - PLAZA
Twenty Eight - The Weeknd
Ayala (Outro) - XXXTentacion
Paradise - Coldplay
XX - Marc E Bassy
Vart du Sover - Victor Leksell
My Bad - Khalid
Pretty Little Fears - 6lack


The wonderful world of GEO spatial indexes in MongoDB
MongoDB has native support for geospatial indexes and extensions to the query language to support a lot of different ways of querying your geo spatial documents. We will touch on a all of the available features of the MongoDB geospatial support point by point as outlined below.
- Query $near a point with a maximum distance around that point
- Set the minimum and maximum range for the 2d space letting you map any data to the space
- GeoNear command lets you return the distance from each point found
- $within query lets you set a shape for you query letting you use a circle, box or arbitrary polygon, letting you map complex geo queries such as congressional districts or post code zones.
But first let’s cover the basics of getting you up and running starting with what a document needs to look like for the indexing to work.
Geospatialize your documents
Somehow we need to tell MongoDB what fields represent our geospatial coordinates. Luckily for us this is very simple. Lets take a simple sample document representing the best imaginative Burger place in the world.
var document = {
name: "Awesome burger bar"
}
Not we need know that it’s located on the fictitious planet (Burgoria) and more specifically at the coordinates [50, 50]. So how do we add this to the document so we can look it up using geospatial searches ? Well it’s very simple just add it as a field as shown below.
var document = {
name: "Awesome burger bar",
loc: [50, 50]
}
Easy right? The only thing you have to ensure is that the first coordinate is the x coordinate and the second one is the y coordinate [x, y].
Let’s go ahead and connect to the database and insert the document
var MongoClient = require('mongodb').MongoClient;
var document = {
name: "Awesome burger bar",
loc: [50, 50]
}
MongoClient.connect("mongodb://localhost:27017/geodb", function(err, db) {
if(err) return console.dir(err)
db.collection('places').insert(document, {w:1}, function(err, result) {
if(err) return console.dir(err)
});
});
So now we have a document in our collection. We now need to tell MongoDB to index our collection and create a 2D index on our loc attribute so we can avail us of the awesome geospatial features. This turns out to be easy as well. Let’s modify the code to ensure we have the index on startup.
var MongoClient = require('mongodb').MongoClient;
var document = {
name: "Awesome burger bar",
loc: [50, 50]
}
MongoClient.connect("mongodb://localhost:27017/geodb", function(err, db) {
if(err) return console.dir(err)
var collection = db.collection('places');
collection.ensureIndex({loc: "2d"}, {min: -500, max: 500, w:1}, function(err, result) {
if(err) return console.dir(err);
collection.insert(document, {w:1}, function(err, result) {
if(err) return console.dir(err)
});
});
});
ensureIndex does the trick creating the index if it does not already exist. By specifying {loc: “2d”} MongoDB will index the array contained in every document under the field name loc. The min and max defines the boundaries of our (Burgoria) and means that points outside -500 and 500 will throw an error as it’s not on the planet.
Basic queries for your geospatial documents
Since we now have a geospatial index on our collection let’s play around with the query methods and learn how we can work with the data. First however let’s add some more documents so we can see the effects of the different boundaries.
var MongoClient = require('mongodb').MongoClient;
var documents = [
{name: "Awesome burger bar", loc: [50, 50]}
, {name: "Not an Awesome burger bar", loc: [10, 10]}
, {name: "More or less an Awesome burger bar", loc: [45, 45]}
]
MongoClient.connect("mongodb://localhost:27017/geodb", function(err, db) {
if(err) return console.dir(err)
var collection = db.collection('places');
collection.ensureIndex({loc: "2d"}, {min: -500, max: 500, w:1}, function(err, result) {
if(err) return console.dir(err);
collection.insert(documents, {w:1}, function(err, result) {
if(err) return console.dir(err)
});
});
});
Right from now one for brevities sake we are going to assume we have the documents stored in the collection and the index created so we can work on queries without the boilerplate insert and index creation code. The first thing we are going to do is locate all the documents that’s a distance of 10 away from 50, 50.
var MongoClient = require('mongodb').MongoClient,
assert = require('assert');
MongoClient.connect("mongodb://localhost:27017/geodb", function(err, db) {
if(err) return console.dir(err)
db.collection('places').find({loc: {$near: [50,50], $maxDistance: 10}}).toArray(function(err, docs) {
if(err) return console.dir(err)
assert.equal(docs.length, 2);
});
});
This returns the following results (ignore the _id it will be different as it’s a collection assigned key).
{ "_id" : 509a47337d6ab61b2871ee8e, "name" : "Awesome burger bar", "loc" : [ 50, 50 ] }
{ "_id" : 509a47337d6ab61b2871ee90, "name" : "More or less an Awesome burger bar", "loc" : [ 45
Let’s look at the query. $near specifies the center point for the geospatial query and $maxDistance the radius of the search circle. Given this the query will return the two documents at [50, 50] and [10, 10]. Now this is a nice feature but what if we need to know the distance from each of the found documents to the originating center for our query. Luckily we have a command that support that called geoNear. Let’s execute it and look at the results.
var MongoClient = require('mongodb').MongoClient,
assert = require('assert');
MongoClient.connect("mongodb://localhost:27017/geodb", function(err, db) {
if(err) return console.dir(err)
db.collection('places').geoNear(50, 50, {$maxDistance:10}, function(err, result) {
if(err) return console.dir(err)
assert.equal(result.results, 2);
});
});
Let’s look at the results returned by the query.
{
"ns" : "test.places",
"near" : "1100000011110000111100001111000011110000111100001111",
"results" : [
{
"dis" : 0,
"obj" : {
"_id" : 509a47337d6ab61b2871ee8e,
"name" : "Awesome burger bar",
"loc" : [
50,
50
]
}
},
{
"dis" : 7.0710678118654755,
"obj" : {
"_id" : 509a47337d6ab61b2871ee90,
"name" : "More or less an Awesome burger bar",
"loc" : [
45,
45
]
}
}
],
"stats" : {
"time" : 0,
"btreelocs" : 0,
"nscanned" : 2,
"objectsLoaded" : 2,
"avgDistance" : 3.5355339059327378,
"maxDistance" : 7.071128503792992
},
"ok" : 1
}
Notice that geoNear is a command not a find query so it returns a single document with the results in the results field of the returned document. As we can see from the results each returned result has a field called dis that is the distance of the document from the center point of our search. Cool we’ve now covered the basics of geospatial search so let’s move onto more advanced queries.
Advanced queries for your geospatial documents
So besides these simple queries we can also do bounds queries. With bounds queries we mean we can look for points of interest inside a defined boundary. This can be useful if you have such things as a post code area, congressional district or any sort of bounding box that is not a pure circle (say look for all restaurants in the west village in new york). Let’s go through the basics.
The magical boundry box query
Our country Whopper on Burgoria is a perfectly bound box (imagine that). Our application wants to restrict our searches to only burger bars in Burgonia. The boundaries for Burgonia are defined by (30, 30) -> (30, 60) and (30, 60) -> (60, 60). Great let’s peform a box bounded query.
var MongoClient = require('mongodb').MongoClient,
assert = require('assert');
MongoClient.connect("mongodb://localhost:27017/geodb", function(err, db) {
if(err) return console.dir(err)
var box = [[30, 30], [60, 60]];
db.collection('places').find({loc: {$within: {$box: box}}).toArray(function(err, docs) {
if(err) return console.dir(err)
assert.equal(docs.length, 2);
});
});
The results returned are.
{ "_id" : 509a47337d6ab61b2871ee8e, "name" : "Awesome burger bar", "loc" : [ 50, 50 ] }
{ "_id" : 509a47337d6ab61b2871ee90, "name" : "More or less an Awesome burger bar", "loc" : [ 45
A polygon to far
Awesome we can now do a query by our perfectly boxed country. Inside Whopper the country is split into triangles where triangle one is made up of three points (40, 40), (40, 50), (45, 45). We want to look for points that are only inside this triangle. Let’s have a look at the query.
var MongoClient = require('mongodb').MongoClient,
assert = require('assert');
MongoClient.connect("mongodb://localhost:27017/geodb", function(err, db) {
if(err) return console.dir(err)
var triangle = [[40, 40], [40, 50], [45, 45]];
db.collection('places').find({loc: {$within: {$polygon: triangle}}).toArray(function(err, docs) {
if(err) return console.dir(err)
assert.equal(docs.length, 2);
});
});
The results returned are.
{ "_id" : ObjectId("509a47337d6ab61b2871ee90"), "name" : "More or less an Awesome burger bar", "loc" : [ 45, 45 ] }
Cool things you can use this with is f.ex with the data at https://nycopendata.socrata.com/browse?tags=geographic you can create queries slicing new york into areas and look for data points inside those areas. So we’ve seen how we can query geo spatially in a lot of different ways. In closing we want to mention some simple ideas to get your mind churning.
Geospatial interesting tidbits
So geospatial is what we mostly promote the features as but at some point you’ll realize that it’s a generic set of 2d indexes that can be used to index and x,y data. You could consider indexing any data points that fit into a 2d space and using the geo query functionality to retrieve subsets of that data. Say if you map price vs apartment size and want to say giving an apartment find me everything that is “close” to the ideal price and size that I’m looking for. The limit here is your fantasy but as you can see it’s a pretty general and very powerful feature once you get over looking at the feature as a pure geographical function. With that I leave you to experiment and have fun with the features we have introduced.


WILD THINGS A review by Joe Chamberlain
Starring Kevin Bacon; Matt Dillon; Neve Campbell; Theresa Russell & Denise Richards
If you were to judge Wild Things based on the advertising alone, it may be reasonable for someone to conclude that it is nothing more than Hollywood's version of a soft core porn flick. Considering most clips feature the very well endowed Denise Richards walking around in very skimpy clothing. Of course by now, most people have heard about the menage-a-trois involving Kevin Bacon, Neve Campbell and the afore mentioned Ms. Richards. If that wasn't enough you have also no doubt heard about Kevin Bacon's full frontal nude scene.  Much to my surprise, Wild Things is a really good movie. Now I have to admit up front that the main reason I went to this film, other than to review it, was for the over hyped lesbian scenes. (Judging by the large proportion of males in the theater, I'm not the only one who went because of that.)
Now Wild Things is sort of difficult to write a synopsis on. Not that it's confusing, it's just one of those movies that you can't say too much about before you start giving things away. Wild Things revolves around a spoiled rich girl, Kelly Van Ryan, (Denise Richards) and her claim that one of her high school teachers, Sam Lombardo, (Matt Dillon) raped her. Kevin Bacon plays the police detective assigned to the case, and Neve Campbell is the girl from the wrong side of the tracks who comes forward with a similar charge against the teacher. Obviously not everything is as it appears in Wild Things, but to say too much would ruin the film. Let's just say that it is worth your time to go find out for yourself. By the end of the movie nothing will surprise you anymore. This is one well thought out movie.
As to performances -- having never been a big Matt Dillon fan I was pleasantly surprised at how good he was in this film. Kevin Bacon also gave one of his better performances in a while. Denise Richards who's only other claim to fame was Starship Troopers does a good job here. She has a great deal of potential, hopefully she will get recognized for her talent and not just she looks. Too often talented actresses who happen to be well-endowed fall into the trap of taking roles that involve nudity over substance. (Natasha Henstridge is a good example.) Although, I digress. Neve Campbell does a fair job, but seems to be taking roles that are becoming more and more annoying. Theresa Russell also is in the film as Denise Richard's over sexed mother. My question was, why? The woman is in her 40's and they have her prancing around in a bikini. It was just embarrassing. Robert Wagner has a cameo as Denise Richard's lawyer, while he overacts in a way that would make William Shatner proud, it is good to see him again in a film. The one to watch is Bill Murray as Matt Dillon's attorney. Murray, as always is great, and unlike some of the films that he has done in recent years, this time the writing backs up his talent. Murray steals every scene he is in.
One other point about the movie that is interesting to note, is the end credits. In recent years directors have taken to showing out takes and bloopers during the end credits. Wild Things goes a step further. During the credits they show how the events of the movie came to be. It's kind of like a mini prequel. Its worth the extra few minutes that you have to stay in your seat.
So if you want lots of sex, and shots of Denise Richards topless, then Wild Things is the movie for you. If you are interested in a movie with a great story and good overall acting, Wild Things fits the bill there too. It's certainly going to rank as one of the most fun movies of the year.
8/10 (I would even rate it that high if Denise Richards wasn't naked)
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Economic Crisis: GDP Growth Falls to 4.5% in July to September, Lowest in More Than 6 Years
India was the world’s fastest-growing economy until last year, posting quarterly growth rates of as high of 9.4% in 2016.
New Delhi: The country’s Gross Domestic Product grew at 4.3 percent in the quarter between July and September, which is the lowest since January-March in 2013 when the GDP grew at 4.3 per cent. The GDP data was even worse than the estimates of 4.7 per cent that the economists expected.
The GDP numbers were released along with the data for the eight core infrastructure industries, which showed output declining by 5.8 per cent in October. As many as six of the eight core industries saw a contraction in output in October. Coal was the worst hit, declining steeply by 17.6 per cent.
India was the world’s fastest-growing economy until last year, posting quarterly growth rates of as high of 9.4% in 2016.
In the April-October period, the central government exceeded its annual fiscal deficit target at 102.4% while it exhausted 112.5% of the revenue deficit target, according to data released by Controller General of Accounts.
According to reports, China’s GDP growth slowed to 6% in the September quarter, the weakest quarterly growth rate since 1992, down from 6.2% in the previous quarter.
The figures come at a time when finance minister Nirmala Sitharaman has accepted an economic slowdown in Parliament and claimed that it still can’t be termed as a recession. In the past few months, the Centre took a number of steps to reverse the slowdown, including a cut in the corporate tax rate.
For breaking news and live news updates, like us on Facebook or follow us on Twitter and Instagram. Read more on Business Latest News on India.com.
Story Timeline
- 27 Nov 2019 Economy May Have Come Down, But There is no Recession Yet: Sitharaman in Rajya Sabha
- 23 Nov 2019 Government Looking at Credit Rating Process For Corporates: Nirmala Sitharaman
- 20 Nov 2019 Union Cabinet Approves Strategic Disinvestment of BPCL Among 4 Other PSUs: FM Nirmala Sitharaman
Comments - Join the Discussion


A utility to help with the WCL - World of Tanks Communit League
It's a small console application, running over .Net 4.7.1, that receives a master file, from Battlefy, containing the teams (clans), it's players, contact information etc and (try) to validade this data to ensure that:
The program parses the CSV, and then for each peace of information it queries some WG APIs and apply some heuristics to clean up the data.
The output of the program is another CSV, with the data validated, and aditional columns with normalized information, or the reason why the original record is wrong.
If you already have the binaries provided by me, just go to the directory where you copied this and click on the program WCLUtilityGui.exe
(the one with the tank icon), and follow the
instructions.
The program may take several minutes to run, as it needs to query a lot of data over the Internet. So, be patient.
After the program runs it outputs 3 files, on the same directory that the original was:
valid.
before the original file name, containing general information about a player;tanks.
before the original file name, containg details on every tier X tank that each player has ever played;clans.
before the original file name, containg a summary of every team.If you want to compile, just clone and open on Visual Studio (I used VS 2017, But the free edition will do it). You will be missing a small text file called AppId.txt
. It contains the Wargaming App Id that you can create on their Developer Portal.
Without this key file on the same directory of the binaries the application will run with the demo
app id, witch is quite limited, or may not even work at all.
or the program can proccess a simple file, as bellow.


Opaque
The opaque type is an uninhabited type with no constructors. Opaque can be used to force some abstract type to range over a type constructor without concerning oneself with the inhabitant of the constructor. It may be used to enable a type to work for all inhabitants and can facillitate generic programming.
Consider an example:
;; The type of indicies over containers of a single type argument
(deftype (Index (f Opaque) b) [at b])
(definterface tabulate (Fn [(Ref (Fn [(Index (f Opaque) b)] c))] (f c)))
(definterface positions (f (Index (f Opaque) b)))
(implements tabulate tabulate)
(defn tabulate [h]
(fmap h @&positions))
(deftype (Tuple a) [x a y a])
(defmodule Tuple
(sig positions (Tuple (Index (Tuple Opaque) Bool)))
(def positions (Tuple.init (Index.init true) (Index.init false)))
)
In the above example, the Opaque type allows us to define tabulate generically
over Tuples without having to ensure their inhabitants match. The result of
tabulate is fully determined by the Index passed to it, which determines the
constructor that will be used, and the return type of its function argument.
Without Opaque, Index would contain a generic type which would be unreseolved
upon the call to tabulate
and Carp would have no means of determining which
implementation of positions
to use (unless we used a the
declaration or a
similar mechanism). Opaque allows us to ensure the positions
we call are the
positions of the correct constructor type f
wihtout having to restrict
ourselves to only calling Indexes
over an f
with a specific inhabitant
type (e.g. (f a)
)--in other words, it allows us to constrain functions by
constructor types only.
Thanks to Opaque, tabulate can generate an (Array Int)
, (Array Bool)
,
(Array String)
, (Maybe Bool)
, etc. all solely dependent on the return type
of h
and the f
in the given Index
.


abstract fun toWireTransaction(): WireTransaction
Generates a WireTransaction from this builder.
Returns A new WireTransaction that will be unaffected by further changes to this TransactionBuilder.


John McFarlane from ANZ has in effect just thumbed his nose at the remaining three big trading banks by declaring himself out of the pack in terms of strategy and, ultimately, in terms of size.
While the banking and insurance industries in Australia have been fixated over the past couple of years on aggregating financial products and cross-selling these to their extensive customer bases, it seems McFarlane is now telling them that, in his estimation at least, this is a play that brings with it longer-term risks. Either he is smarter than his contemporaries at rival trading banks and has worked out how to add shareholder value in a small and crowded market, or he is a man too far ahead of his time. In other words, McFarlane could fall foul of the adage that no-one is a prophet in their own time, or he may be the one who reshapes the Australian banking market.
The changes outlined by McFarlane represent a radical approach, given ANZ's position as one of the big four in Australian financial services.
In the short term it would certainly have been safer for him to pursue the same strategy as his peers of bulking up on cross-selling. He has not actually been forced into an alternative course of action because ANZ is the smallest of the big four and doesn't do enough by way of non-bank products.
However, it would be also fair to say that if he were sitting in the seat of David Murray at CBA, he would probably not have pursued the same course. With CBA's vast consumer banking franchise, moving into specialist high-margin banking services would be silly.
 McFarlane has distinguished himself in Australian banking more as an innovator than strategist. He is generally more entrepreneurial than his counterparts demonstrated by his ready adaptation to information technology and e-commerce.
So where does he put ANZ in, say, five years?
To begin with, it will not be a traditional full service bank, though it may still have consumer banking activities. It will be an organisation that specialises in certain areas of financial services a Macquarie Bank, not a Westpac. Not because it will offer the same products as Macquarie, but because it will concentrate its efforts on a range of high-margin products and services.
ANZ will not be about size; it will be about return. So it's not about general customers, but about higher-margin customers and products, be they in the business or domestic market.
Which market segments will ANZ pursue? McFarlane was a bit fuzzy on this question. The first step is to break up the overall business into a large number of units ANZ has identified 21 to begin with, but says this might double by the time the exercise is completed.
Breaking these businesses up will be more expensive in the short term. For example, three branch networks will be created the first for general banking, the second for small and medium-sized businesses and the third in the area of wealth creation (which seems to mean the higher net-worth individual). The idea is that specialist branch or call centres will be able to service and market to these segments better.
So, in this respect, the risk is that the synergies of a full-service bank will be lost while the evolution is under way.
What will be left at the end of the process depends on which of the business units performs the best. It may be that some of the units will end up being joint ventured, some will be spun off, some sold and others closed. For example, in general banking ANZ might ultimately undertake a joint venture with St George or even Westpac.
McFarlane sees globalisation and technology as the enablers for this new world of banking. He believes these two facts have allowed niche players to cherry pick the high margin end of the business and eventually will threaten the margins of the traditional operators who are attempting to service all segments of the markets through the one brand.
The strangest part of this strategy is that, right now, ANZ is everything it doesn't want to be. It is a full-service bank offering the full range of financial service products. It has the high-cost branch network associated with a full-scale trading bank. Breaking up the business into 21 operating units is just a full-service bank with a lot of parts. At this stage the change is merely definitional. McFarlane would argue the line has to be drawn at some stage and now is as good a time as any.
There is no doubt his is a welcome departure from the strategy documents of the other banks. McFarlane himself is supremely confident the downside is very limited and the upside is next to boundless.


To ensure that the JUXT logotype is clearly visible in all applications, surround it with sufficient clear space —free of type, graphics, and other elements that might cause visual clutter. Displayed here are two different clear space dimensions — preferred and minimum.
Whenever possible, use the preferred clear space dimensions or provide an even larger clear space around the JUXT logotype. Ample clear space will underscore the logotype’s prominent position and its role as the anchor of the layout. Only use the minimum clear space dimensions when the application has severely limited space to accommodate the logotype.
Download EPS Format Download PNG Format Download JPG Format


The leader of the Resistance and the person to find Zero after we gained intel of an abandoned factory near our hideout. The Cyber elf Passy sacrified herself to revive Zero when she was pursued by Neo Arcadian forces.
A group of Reploids that were labelled as Mavericks by Neo Arcadia. The leader is Ciel, and although they oppose Neo Arcadia, they mean no harm to anyone. Most likely these folks were labelled due to not being fiercly loyal to the tyranny of Copy X. The standard uniform is green with a red beret and metal combat boots, and the standard weapon is an old variant of the Buster Shot.
A hero from long past my own databanks and the Original X. He gave up his body to seal away the Dark-Elf, and despite that he continues to help Zero and Ciel in their missions as a Cyber-elf. When Zero first awoke, X was the one to give him his Z-saber.
One of the 4 guardians of Neo Arcadia and commander of the Strong Air Battalion. After first fighting against Zero when he first emerged, continuos circumstances arise where Harpuia decides to spare and even save Zero's life, culminating in fighting alongside Zero when the whole planet is under threat by Dr.Weil. The most noble of the Guardians and acts as their leader directly underneath Copy X.
One of the 4 guardians of Neo Arcadia and commander of the Deep Sea Squadron. Normally a peaceful reploid, she has taken a fascination to Zero getting into combat with him whenever she can. In Zero's third mission when the whole planet is under threat of being destroyed, she joins Harpuia to assist Zero in his fight against Dr.Weil.
One of the 4 guardians of Neo Arcadia and commander of the Scorched Earth Squadron. He's the hottest head of them all, so hot that we can't directly ask him questions cause he'll yell at us. What he do know is that he put aside his rivalry with Zero to help him defeat Dr.Weil when the whole world was endangered by Weil's space fortress.
One of the 4 guardians of Neo Arcadia and commander of the Cutting Shadow Squadron. He acts as the inteligence corps for the guardians and Neo Arcadia. He was the one to warn the Cyber-Elf X of the fight between Zero and Omega, and helped to rally the other guardians to aid Zero. He couldn't aid in the battle directly due to his conversion into a Cyber-elf after his first battle with Zero.
The source of all Cyber-Elves. Her creation marked the end of The Maverick Wars as X used her power to wipe away the Maverick-virus. Weil corrupted her, turning the loving and gentle being into one that spread madness. Zero rescues her during his fight against Omega, where she finally turns back into Mother-Elf.
The leader of Neo Arcadia. He was created with the DNA of the original X by Ciel after the original used his body to seal the Dark Elf. He has 4 guardians that serve directly under him with the purpose of protecting Neo Arcadia.
A dangerous and cunning mastermind that manipulated ongoing events to his liking. He Was one of the individuals to work on Mother-Elf and the same one to corrupt her into the Dark-Elf. He also stole Zero's original body and used it to create Omega, a walking killing machine.
Zero's Original body taken by Weil and used for destructive means. There's a name that keeps on popping up whenever any of us look at it. Wily? Who's Wily? No records of him exist. As if he was scrubbed from existance.. This body was destroyed before we could analyze it, leaving only this image as the living piece of info we can gather.


Actual source code: PetscGetCPUTime.c
petsc-3.8.0 2017-09-26
2: #include <petsctime.h>
4: int main(int argc,char **argv)
5: {
6: PetscLogDouble x,y;
7: long int i,j,A[100000],ierr;
9: PetscInitialize(&argc,&argv,0,0);if (ierr) return ierr;
10: /* To take care of paging effects */
11: PetscGetCPUTime(&y);
13: for (i=0; i<2; i++) {
14: PetscGetCPUTime(&x);
16: /*
17: Do some work for at least 1 ms. Most CPU timers
18: cannot measure anything less than that
19: */
21: for (j=0; j<20000*(i+1); j++) A[j]=i+j;
22: PetscGetCPUTime(&y);
23: fprintf(stdout,"%-15s : %e sec\n","PetscGetCPUTime",(y-x)/10.0);
24: }
26: PetscFinalize();
27: return ierr;
28: }


Events
Events
Start
Intermediate
End
Activities
Activities
Tasks
Advanced
Gateways
Gateways
Common
Volumes
1
3
Bricks
3
12
Quotas
3
Logical Volumes
1
10
Advanced
Containers
Containers
Containers
Volumes
1
3
Bricks
3
12
Quotas
3
Logical Volumes
1
10
Common
Pools
10
OSDs
1
3
Advanced
RBDs
2
14
Quotas
0
Snapshots
3
9
Storage Profiles
7
Connectors
Connectors
Connectors
Volumes
1
3
Bricks
3
12
Quotas
3
Logical Volumes
1
10
Flow
Pools
10
OSDs
1
3
Association
RBDs
2
14
Quotas
0
Snapshots
3
9
Storage Profiles
7
Library
Library
Processes
Volumes
1
3
Bricks
3
12
Quotas
3
Logical Volumes
1
10
Process Clips
Pools
10
OSDs
1
3
Services
RBDs
2
14
Quotas
0
Snapshots
3
9
Storage Profiles
7


Defining Principles
Mission Statement
Who We Are Today
Facilitate highly focused environments to connect innovators, leaders, and those who aspire to be them.
Vision Statement
Who We Strive to Be
A front of mind Hub for leaders to collaborate, and a Partner in their continued career growth.
Color Palette
Primary
Professional, Dependable | Integrity, Knowledge
Bright Blue
#3b62b0rgb(59,98,176)
Dark Blue
#253a63rgb(37,58,99)
Accent
Friendly, Confident | Warmth, Familiarity
Orange
#f0942drgb(240,148,45)
Pale Orange
#f7c996rgb(247,201,150)
Support
Authority, Stability
Storm Grey
#8490a7rgb(132,144,167)
Pale Grey
#c8ced8rgb(200,206,216)
Logo
WBR Full Logo
WBR Acronym
WBR Globe Icon
Typography
Headers: Lato
Body: Gill Sans, Calibri
Header Level 1
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Paragraph Text: Lorem ipsum dolor sit amet, consectetur adipiscing elit. Quisque quis tellus dignissim, suscipit nisl eget, elementum nunc. Fusce id dolor purus. Nullam consectetur tellus in neque pretium efficitur.
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Buttons and Links
Fluid Grid Layout
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Life
Piano
I like Western Classical and New Age Music. My favourites include Cristofori's Dream by David Lanz and The River Flows in You by Yiruma.
Environmental Sustainability
I volunteered for Oxford Teach Green and was secretary for two years. We designed and taught lessons at a local primary school on topics such as biodiversity, meat production, pollution etc.


Pricing in USD. Excludes any applicable tax.
$
99
/
mo
- 6 tasks
- 6 hrs response time
- one tasks at a time
- Next busines day turn around
- Need more small talks? Use ADDON
15 per small tasks
Sign Up
$
149
/
mo
- Unlimited tasks
- 6hrs first response time
- One task at a time
- Next business day turn around
- Need more small talks? Use ADDON
14 per small tasks
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$
199
/
mo
Most Popular Plan
- Unlimited tasks
- 6hrs first response time
- One task at a time
- Next business day turn around
- Need more small talks? Use ADDON
14 per small tasks
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$
149
/
mo
- Unlimited tasks
- 6hrs first response time
- One task at a time
- Next business day turn around
- Need more small talks? Use ADDON
14 per small tasks
Sign Up
$
149
/
mo
- Unlimited tasks
- 6hrs first response time
- One task at a time
- Next business day turn around
- Need more small talks? Use ADDON
14 per small tasks
Sign Up


Lightbring is our 3rd server and lives in the modded section of the server list. Currently running Valmod Overhaul, and with admin mods coming soon, this
changes almost everything we know about the game. Game difficulty has been increased slightly to offer a better experiance for the new items you are about to recieve.
Difficulty is set to 4, and feral mode is active. However zombies still only run at night. We think this will provide a fair balance to the changes.
Players must download and install Vlamod Overhaul to properly play the game.
Valmod starts us off by making the player choose one of several premade classes. This class comes with a suitcase, opened
by the given in a new players inventory, containing server items to get the player started. Building will be greatly limited at the beginning
with Valmods new skill system. Adding carpentry and several other new skills, players are tested and required to do some work before goodies are unlocked.
Food as another great thing brought to us. Valmod OH introduces more food than we can shake a stick at. (Why dont we have sticks in-game?) Hamburgers,
jams, and clay bowls are all new ways to fill your belly and keep you scavenging for more. Silenced weapons, hollowpoint rounds, colored armor, and more await you
inside of Lightbringer - Valmod Overhaul.
{% endblock %}


Kaspersky’s new solution to help combat advanced threats
Moscow: Cybersecurity firm Kaspersky has launched a new solution to help organizations combat advanced threats designed to evade detection by endpoint protection platforms (EPP).
The new Kaspersky Sandbox automatically analyses new suspicious files and sends the decision to the installed endpoint protection platforms.
As a result, organizations strengthen their protection from previously unknown threats even if they lack teams of experienced threat analysts or have limited resources, Kaspersky said on Wednesday.
“Companies, regardless of their size, need protection from threats that fly under the radar of EPP. However, enterprise-grade solutions against advanced attacks often require advanced security analysts to operate them effectively. Smaller companies can rarely afford to hire and retain such talent,” Sergey Martsynkyan, Head of B2B Product Marketing at Kaspersky, said in a statement.
“That’s why they need a solution, such as Kaspersky Sandbox, which can solve this issue automatically without needing to attract IT security specialists. For enterprises, deploying Kaspersky Sandbox allows a business to optimize their budgets and staffing in branch offices where there’s typically just IT department specialists who are required to do all the security work,” Martsynkyan added.
According to a Kaspersky survey of IT decision-makers, 47 percent of SMBs (small and medium-sized businesses) and 51 percent of enterprises say that it is becoming more difficult to differentiate between generic and advanced attacks.
This means security analysts have to spend time evaluating numerous suspicious files instead of focusing on investigating, and responding to, the most critical threats.
This could be even more challenging, as larger SMBs and small enterprises face an IT security talent shortage, so all the responsibilities of managing security fall on the shoulders of IT departments.
Nonetheless, these companies face pretty much the same threats as fully established enterprises, including advanced attacks.
Unlike many threat intelligence services targeted at experienced security analysts, Kaspersky Sandbox does not require manual operations to examine the impact of risky objects, the company said. (IANS)
Also Read: Malware Stealing ATM Card Details of Indians Traced to N.Korea
Also Watch: Govt all set to push for the contentious Citizenship Bill in the winter session of Parliament


Some of Graham Geraghty's stolen GAA medals have been recovered
The medals were stolen from the Meath legend’s home last week.
by Sean MurraySOME – BUT NOT all – of the GAA medals stolen from the home of Graham Geraghty have been discovered.
A number of them were found on a street in Arklow in Wicklow, with the man who found them contacting Geraghty’s wife on social media.
It’s understood that the burglary of the Meath legend’s home occurred between 9.30pm and 12.30am last Friday evening in Higginstown, Athboy.
Gardaí confirmed that a burglary in the Higginstown area and that they are investigating.
In a Facebook post, his wife Amanda said that it took “blood, sweat and tears” to win the medals.
Calling them a “lifetime of memories”, she asked for the medals to be returned.
“We will gladly give you what the cash for gold shops will give you for them and more,” she said.

“It’s great to get some of them back,” he said, adding: “I know by the photograph that some of the Leinster ones are still missing.
The fact we have some of them back is fantastic… I haven’t got my hands on them yet. It might take a while to get [the other ones] back. Fingers crossed.
Geraghty was the captain when Meath won the All-Ireland in 1999 against Cork, while he also enjoyed All-Ireland championship success with his county at under-21 and minor level.
The former player, who represented Ireland in the International Rules series, also unsuccessfully contested the 2007 general election for Fine Gael.
Geraghty retired from inter-county football in 2012.
With reporting from Dominic McGrath


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Data Fields | |
| char | robot_name [robot_name_length] |
| int | health_points |
| double | angle |
| int | speed |
| point | pos |
| int | id |
| int | missiles |
| int | memory [robot_memory] |
| unsigned int | waiting_time |
| double robot_impl::angle |
| int robot_impl::health_points |
| int robot_impl::id |
| int robot_impl::memory[robot_memory] |
| int robot_impl::missiles |
| point robot_impl::pos |
| char robot_impl::robot_name[robot_name_length] |
| int robot_impl::speed |
| unsigned int robot_impl::waiting_time |


NBA Youngboy Kicks His Mom Out Of House He Bought Her!
by illseedWe went from "Dear Mama" to "Kick Rocks Mom."
(AllHipHop Rumors) NBA Youngboy has done the unthinkable. Well, it is unthinkable if you grew up on Tupac like me. Tupac had the classic song called "Dear Mama," where he praised his mother despite her imperfections. NBA Youngboy is a bit of a different artists, who may come from the Blueface school of thought.
NBA Youngboy has reportedly tossed his mom from the home that he purchased for her.
She let him have it in all of her internet glory too!!!   I’ll go under the interstate. B#tch, I’ll go sleep on a f##king park bench.”
Well, with all respect to Youngboy, his mom ain't Afeni Shakur. LOL!!!
People need to know that family is everything and money comes and goes.
The Baton Rouge rapper has had the blessing of a mom and she has been his ride and die during some of his hardest times including when he was facing a myriad of charges.
And he's still walking in the free world so she did something right! “B#tch, I raised my children right.
WHEW!


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Before Change
def pretrained_model_list():
return list(_model_sha1.keys())
After Change
def pretrained_model_list():
Get list of model which has pretrained weights available.
_renames = {
"resnet18_v1b_2.6x": "resnet18_v1b_0.89",
"resnet50_v1d_1.8x": "resnet50_v1d_0.86",
"resnet50_v1d_3.6x": "resnet50_v1d_0.48",
"resnet50_v1d_5.9x": "resnet50_v1d_0.37",
"resnet50_v1d_8.8x": "resnet50_v1d_0.11",
"resnet101_v1d_1.9x": "resnet101_v1d_0.76",
"resnet101_v1d_2.2x": "resnet101_v1d_0.73",
}
return [_renames[x] if x in _renames else x for x in _model_sha1.keys()]


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